{"id":"W2170406185","doi":"10.1109/tvcg.2010.237","title":"Whisper, Don't Scream: Grids and Transparency","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; USable; Transparency (behavior); Grid; Presentation (obstetrics); Visualization; Artificial intelligence; Computer vision; Human–computer interaction; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605537,0.0005406961,0.0003130677,0.0003790563,0.0005395488,0.001943056,0.00060602,0.0008149217,0.003838574],"category_scores_gemma":[0.02633669,0.0004048576,0.000297339,0.000261437,0.00154362,0.002915089,0.002049898,0.0007889749,0.0003904373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004387521,"about_ca_system_score_gemma":0.0004320012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175002,"about_ca_topic_score_gemma":0.0009882589,"domain_scores_codex":[0.998637,0.0008038565,0.00005997947,0.0001199952,0.0002787601,0.0001002853],"domain_scores_gemma":[0.9851868,0.01105232,0.0008696347,0.001646246,0.0006122635,0.0006328317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008624377,0.0005686338,0.02243312,0.002075987,0.0002004684,0.001906742,0.0265875,0.05807797,0.2974523,0.07742875,0.01324608,0.4913981],"study_design_scores_gemma":[0.001462057,0.005345421,0.06916368,0.001405415,0.0005278338,0.004655732,0.01382336,0.3588127,0.2514493,0.2129982,0.07957067,0.0007855399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7041541,0.0009923901,0.2674527,0.001523194,0.0002367462,0.0001998348,0.0001426507,0.002882347,0.02241614],"genre_scores_gemma":[0.940334,0.0002124421,0.05711098,0.0002095108,0.00002325732,0.0000718166,0.00004996014,0.0002825367,0.001705587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003838574,"threshold_uncertainty_score":0.01284128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598287099181107,"score_gpt":0.2746613487351581,"score_spread":0.2586784777433471,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}